Fuzzy inference mechanism based on dynamic membership functions and its industrial applications

被引：0

作者：

Feng, EB ^{[1
]}

Yang, HB ^{[1
]}

Rao, M ^{[1
]}

机构：

[1] Univ Alberta, Dept Chem Engn, Intelligence Engn Lab, Edmonton, AB T6G 2G6, Canada

来源：

4TH WORLD CONGRESS OF EXPERT SYSTEMS, VOL 1 AND 2: APPLICATION OF ADVANCED INFORMATION TECHNOLOGIES | 1998年

关键词：

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

In this article a new kind of dynamic inference mechanism of expert system is described. This reasoning method is established by means of fuzzy sets theory in which the dynamic membership functions are introduced. The detail discussion about this dynamic membership functions is given. As the realization, an expert system reasoning inference based on the dynamic membership functions is designed. Finally, this paper give out an application of the reasoning mechanism to deal with the problem of incident diagnosis and forecasting.

引用

页码：923 / 930

页数：8

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